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The Drug Discovery Pipeline is Broken

$2.6B+

Cost & Time Per Drug

10–15 years development with 90% clinical trial failure rate (PhRMA, 2022; NIH, 2021)

70%

R&D Inefficiency

Manual data processing consumes 70% of R&D time (Nature Reviews Drug Discovery, 2020)

Data Overload

Explosion of genomic, proteomic, and chemical data overwhelms traditional methods (BCG, 2023)

AI-Driven Solutions for Faster Discovery

Predictive Modeling

Deep learning for accelerated target identification and validation

Automated Data Analysis

Integration of multi-omics, chemical, and clinical datasets into insights

Secure Collaboration

Cloud-based workspace for cross-functional team coordination

Why Choose Ionova?

Academic Collaboration

Direct partnerships with university labs and research institutions

Tiered Pricing

Affordable plans tailored for mid-size biotechs and labs

Intuitive Platform

No-code machine learning tools with user-friendly UI